Machine Learning Algorithms for the Diagnosis of Class III Malocclusions in Children.

Unlabelled: Artificial intelligence has been applied to medical diagnosis and decision-making but it has not been used for classification of Class III malocclusions in children.

Objective: This study aims to propose an innovative machine learning (ML)-based diagnostic model for automatically classifies dental, skeletal and functional Class III malocclusions.

Methods: The collected data related to 46 cephalometric feature measurements from 4-14-year-old children ( = 666).